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The Bias Assimilation Effect and Attitude Polarization in AIoT Smart Healthcare Word-of-Mouth
               Communication



               whether expletive-laden or emotionally charged online reviews erode their own credibility
               or intensify polarization. Investigating such instances of uncivil WOM may deepen our
               understanding of persuasive dynamics.



                                             5. Contributions


               5.1 Theoretical Contributions

                    First, we extend the literature on assimilation bias to AIoT healthcare reviews.
               Research on attitude consistency and assimilation bias has focused primarily on politics
               and the news, with little attention to controversial AIoT smart-health technologies (Boysen
               and Vogel, 2007; Thorson, Vraga, and Ekdale, 2010). We show that consumers find user
               reviews that are more consistent with their own attitudes toward AIoT health devices more

               persuasive and that these reviews give rise to less polarization. In other words, attitude
               consistency makes individuals more entrenched in their beliefs. Second, echoing Gaczek,
               Pozharliev, Leszczynski, and Zielinski (2023), our findings reveal that the persuasiveness
               of reviews depend not only on the content on the review but by the congruence it has with

               the user’s beliefs.
                    Third, traditional assimilation models have exclusively focused on attitude
               consistency regarding a single object. Our framework focuses on attitude consistency
               toward the technology and the brand; we demonstrate that both differ in their effects on

               polarization regarding AIoT health technologies. This richer model clarifies how multiple
               beliefs interact to shape reactions to emerging, controversial innovations. We measure
               assimilation bias outside the laboratory and in actual social-media discussions of AIoT
               smart-health devices. Finally, we observe that assimilation effects are stronger among

               younger consumers.


               5.2 Practical Implications
                    This study has several practical implications. First, marketing practitioners should

               segment audiences on the basis of their attitudes toward AIoT health technologies to
               leverage the effects of attitude consistency. They can conduct market research (surveys,
               focus groups, or analytics) to discover these segments and formulate targeted messaging.
               To change the minds of skeptics, practitioners should use strong, clear arguments



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